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30-Day Money-Back Guarantee

This course includes:

  • 2 hours on-demand video
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
Development Data Science Artificial Intelligence

Advanced Artificial Intelligence Projects with Python

Bring AI into your life with real-world projects in Python.
Rating: 3.3 out of 53.3 (3 ratings)
78 students
Created by Packt Publishing
Last updated 4/2018
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Extract names, places, and more and their relationships from text
  • Build a recommendation engine for finding new music
  • Use deep reinforcement learning to build an AI that plays arcade games
  • Employ the SpaCy and textacy libraries for natural language processing
  • Use popular libraries such as Keras and TensorFlow for reinforcement learning

Course content

3 sections • 14 lectures • 2h 2m total length

  • Preview01:34
  • Goals and Techniques of NLP
    03:21
  • Keyword Extraction
    03:17
  • Keyword Extraction from Wikipedia
    14:35
  • Entity and Relationship Extraction
    03:40
  • Extracting Entities and Relationships from Email
    17:09

  • Preview07:59
  • Python DEAP Library
    15:47
  • Music Analysis with the Essentia Library
    07:20
  • Generating a Mix Tape with a Genetic Algorithm
    15:02

  • Preview04:55
  • Q-Learning
    05:30
  • Creating a Game Player with Reinforcement Learning
    13:02
  • Deep Reinforcement Learning
    09:29

Requirements

  • Should have a basic understanding of machine learning and minimal experience in developing AI projects.

Description

Considered the Holy Grail of automation, data analysis, and robotics, Artificial Intelligence has taken the world by storm as a major field of research and development. Python has surfaced as a dominate language in AI/ML programming because of its simplicity and flexibility, in addition to its great support for open source libraries such as spaCy and TensorFlow.

This video course is built for those with a basic understanding of artificial intelligence, introducing them to advanced artificial intelligence projects as they go ahead. The first project introduces natural language processing including part-of-speech tagging and named entity extraction. Wikipedia articles are used to demonstrate the extraction of keywords, and the Enron email archive is mined for mentions and relationships of people, places, and organizations. The spaCy library is used. The next project introduces genetic algorithms. The DEAP library is used. A music data set is used in a genetic algorithm that generates a music playlist satisfying multiple criteria such as song similarity and playlist length. The last project introduces reinforcement learning and deep reinforcement learning. The OpenAI Gym platform and Q-learning algorithm are used to build a game-playing AI.

This course uses Python 3.6 while not the latest version available, it provides relevant and informative content for legacy users of Python and Machine Learning.

About the Author

Joshua Eckroth is Assistant Professor of Computer Science at Stetson University, where he teaches Big Data Mining and Analytics, Artificial Intelligence (AI), and Software Engineering. Dr. Eckroth joined the Math and Computer Science Department at Stetson University in Fall 2014. He earned his PhD from Ohio State University in the areas of AI and cognitive science, focusing on abductive reasoning and metareasoning. He is an active researcher with numerous refereed publications in the fields of artificial intelligence and computer science education. Dr. Eckroth also serves as Chief Architect at i2k Connect, LLC., whose mission is to revolutionize the ability of companies to find, filter, and analyze data in documents by extracting essential information from data clutter. In addition, Dr. Eckroth is co-editor of AITopics .org, the Internet's largest collection of information about the research, the people, and the applications of Artificial Intelligence.

Who this course is for:

  • If you are Python programmer with a basic understanding of machine learning and minimal experience in developing AI projects then this course is for you.

Instructor

Packt Publishing
Tech Knowledge in Motion
Packt Publishing
  • 3.9 Instructor Rating
  • 56,863 Reviews
  • 345,649 Students
  • 1,423 Courses

Packt has been committed to developer learning since 2004. A lot has changed in software since then - but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work.

With an extensive library of content - more than 4000 books and video courses -Packt's mission is to help developers stay relevant in a rapidly changing world. From new web frameworks and programming languages, to cutting edge data analytics, and DevOps, Packt takes software professionals in every field to what's important to them now.

From skills that will help you to develop and future proof your career to immediate solutions to every day tech challenges, Packt is a go-to resource to make you a better, smarter developer.

Packt Udemy courses continue this tradition, bringing you comprehensive yet concise video courses straight from the experts.



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